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← Moniepoint

Data Scientist (Fraud)

Moniepoint
Location
Remote, India
Posted
12 days ago
Department
Data Science
What they actually want (must-haves)
  • Degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar)
  • 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime
  • Hands-on experience building and deploying machine learning models in a production environment
  • Proficiency in Python and SQL
  • Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering
  • Comfort working in fast-paced, cross-functional teams with high ownership expectations
Nice to have
  • Fraud, risk, or financial services experience
What the job really is

The Data Scientist (Fraud) role at Moniepoint involves developing machine learning models and detection systems to combat fraud, impacting millions of customers. Daily tasks include prototyping models, designing experiments, and collaborating with cross-functional teams to implement fraud mitigation strategies. The position requires a strong analytical background and the ability to communicate findings to non-technical stakeholders.

Benefits
  • Attractive salary
  • Pension
  • Health insurance
  • Annual bonus
  • Other benefits
Things to weigh
  • No specific salary range provided
  • Role heavily focused on fraud detection, which may limit exposure to other data science applications
  • Fast-paced environment may require adaptability and resilience
Job score3.4/5
Benefits3/5
Freshness5/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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